activity
20222025
most citedDeep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions

49 citations · 215 across the 27 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.AI2024★ 2 cited

A Review of AI and Machine Learning Contribution in Predictive Business Process Management (Process Enhancement and Process Improvement Approaches)

Mostafa Abbasi, Rahnuma Islam Nishat, Corey Bond +4

Purpose- The significance of business processes has fostered a close collaboration between academia and industry. Moreover, the business landscape has witnessed continuous transfor…

cs.CV2024★ 2 cited

Ego-Motion Aware Target Prediction Module for Robust Multi-Object Tracking

Navid Mahdian, Mohammad Jani, Amir M. Soufi Enayati +1

Multi-object tracking (MOT) is a prominent task in computer vision with application in autonomous driving, responsible for the simultaneous tracking of multiple object trajectories…

eess.SP2024★ 2 cited

Condition Monitoring with Incomplete Data: An Integrated Variational Autoencoder and Distance Metric Framework

Maryam Ahang, Mostafa Abbasi, Todd Charter +1

Condition monitoring of industrial systems is crucial for ensuring safety and maintenance planning, yet notable challenges arise in real-world settings due to the limited or non-ex…

cs.RO2024★ 8 cited

Extended Reality for Enhanced Human-Robot Collaboration: a Human-in-the-Loop Approach

Yehor Karpichev, Todd Charter, Jayden Hong +4

The rise of automation has provided an opportunity to achieve higher efficiency in manufacturing processes, yet it often compromises the flexibility required to promptly respond to…

cs.AI2024★ 1 cited

A mathematical model for simultaneous personnel shift planning and unrelated parallel machine scheduling

Maziyar Khadivi, Mostafa Abbasi, Todd Charter +1

This paper addresses a production scheduling problem derived from an industrial use case, focusing on unrelated parallel machine scheduling with the personnel availability constrai…

cs.LG2024★ 3 cited

Intelligent Condition Monitoring of Industrial Plants: An Overview of Methodologies and Uncertainty Management Strategies

Maryam Ahang, Todd Charter, Mostafa Abbasi +3

Condition monitoring is essential for ensuring the safety, reliability, and efficiency of modern industrial systems. With the increasing complexity of industrial processes, artific…